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Shruthi Karunakar

dblp:377/4921 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0001-8586-9239ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 91% Energy-efficient computing · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture
clustered architecture
0.912025
Consequence-based Clustered Architecture · ACM Trans. Archit. Code Optim. 2025
Processor architecture and microarchitecture › clustered architecture
instruction steering
0.912025
Consequence-based Clustered Architecture · ACM Trans. Archit. Code Optim. 2025
Processor architecture and microarchitecture
pipelining
0.912025
Consequence-based Clustered Architecture · ACM Trans. Archit. Code Optim. 2025
Energy-efficient computing › low-power design
power optimization
0.312025
Consequence-based Clustered Architecture · ACM Trans. Archit. Code Optim. 2025

Methods — techniques the papers use, named apart from their topics

simulation · 0.9
YearPublicationVenuePosition
2025 Consequence-based Clustered Architecture
abstract
We recognize that the execution of many dynamic instructions has no consequence on the overall execution of a program. For example, the execution of a correctly predicted conditional branch instruction, as well as all the instructions leading up to it, is inconsequential. We propose a clustered architecture that steers consequential instructions to the primary cluster and inconsequential ones to the secondary cluster called the I-Pipe, which is less capable and thereby more area and power efficient. The proposed architecture also entails minimal inter-cluster communication, thereby greatly reducing the complexities of inter-cluster result buses. Such a steering policy helps increase the performance as the consequential instructions do not face any interference from the inconsequential ones. We demonstrate a 42% area reduction as compared to a baseline single cluster (Tigerlake-based) architecture, a 18.5% power reduction in the SPEC CPU2017 suite (13.7% power reduction in GAPBS), and a 5.15% performance uplift in the SPEC CPU2017 suite (10.22% in the GAPBS suite).
Shruthi Karunakar, Rajshekar Kalayappan, Sandeep Chandran
ACM Trans. Archit. Code Optim.1
2024 CASH: Criticality-Aware Split Hybrid L1 Data Cache
Shruthi Karunakar, Meenakshi Atkade, Akash Poptani, Rajshekar Kalayappan, Sandeep Chandran
ACM Great Lakes Symposium on VLSI1